Story Arcs in Serious Illness: Natural Language Processing features of Palliative Care Conversations.

Journal: Patient education and counseling
Published Date: Apr 1, 2020

Abstract

OBJECTIVE: Serious illness conversations are complex clinical narratives that remain poorly understood. Natural Language Processing (NLP) offers new approaches for identifying hidden patterns within the lexicon of stories that may reveal insights about the taxonomy of serious illness conversations.

Authors

  • Lindsay Ross
    University of Vermont, Burlington, VT, USA.
  • Christopher M Danforth
    Department of Mathematics, University of Vermont, Burlington, VT, USA.
  • Margaret J Eppstein
    Department of Computer Science, University of Vermont, Burlington, Vermont.
  • Laurence A Clarfeld
    School of Engineering, University of Vermont, Burlington, Vermont.
  • Brigitte N Durieux
    School of Arts and Sciences, University of Vermont, Burlington, Vermont.
  • Cailin J Gramling
    School of Arts and Sciences, University of Vermont, Burlington, Vermont.
  • Laura Hirsch
    University of Vermont, Burlington, VT, USA.
  • Donna M Rizzo
    Department of Civil and Environmental Engineering, University of Vermont, Burlington, Vermont.
  • Robert Gramling
    Department of Family Medicine, University of Vermont, Burlington, Vermont.

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